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Author:
Dirk.Pflueger@ipvs.uni-stuttgart.de
License:
BSD-style license
Summary:
The sparse grids toolkit SG++ SG++ is a collection of numerical algorithms for sparse grids. It contains modules for interpolation, quadrature, data mining (regression, classification, clustering), optimization, PDEs, and more. SG++ implements algorithms for spatially adaptive grids and also provides a module for the combination technique. Many of the implemented algorithms are also available as a high-performance version, often orders of magnitude faster than standard implementations.
Latest version:
3.3.1
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